Github user dongjoon-hyun commented on the pull request:
https://github.com/apache/spark/pull/12980#issuecomment-218286685
Yep. Thank you for giving test drive chance, @srowen and for understanding
that, @nchammas .
In terms of computing resources, now we can take advantage of more than AMP
clusters. But, it's not suitable tool for Spark. We can remove that anytime
from Spark repository. I just hope we can use that potential usefully in anyway.
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